python - What does .shape [] do in "for i in range (Y.shape [0 ...
shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y.shape[0] is 0, your are working along the first dimension of your array.
Difference between numpy.array shape (R, 1) and (R,)
Shape n, expresses the shape of a 1D array with n items, and n, 1 the shape of a n-row x 1-column array. (R,) and (R,1) just add (useless) parentheses but still express respectively 1D and 2D array shapes, Parentheses around a tuple force the evaluation order and prevent it to be read as a list of values (e.g. in function calls). This tuple ...
arrays - what does numpy ndarray shape do? - Stack Overflow
Nov 30, 2017 · 82. yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; And you can get the (number of) dimensions of your array using yourarray.ndim or np.ndim(). (i.e. it gives the n of the ndarray since all arrays in NumPy are just n-dimensional arrays (shortly called as ndarray s)) For a 1D array, the shape would be ...
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · 9. x[0].shape will give the Length of 1st row of an array. x.shape[0] will give the number of rows in an array. In your case it will give output 10. If you will type x.shape[1], it will print out the number of columns i.e 1024. If you would type x.shape[2], it will give an error, since we are working on a 2-d array and we are out of index.
How can I get a list shape without using numpy? - Stack Overflow
Aug 22, 2018 · def get_shape(lst, shape=()): """. returns the shape of nested lists similarly to numpy's shape. :param lst: the nested list. :param shape: the shape up to the current recursion depth. :return: the shape including the current depth. (finally this will be the full depth) """. if not isinstance(lst, Sequence):
python - What does -1 mean in numpy reshape? - Stack Overflow
Sep 9, 2013 · When reshaping an array, the new shape must contain the same number of elements as the old shape, meaning the products of the two shapes' dimensions must be equal. When using a -1, the dimension corresponding to the -1 will be the product of the dimensions of the original array divided by the product of the dimensions given to reshape so as to ...
Keras input explanation: input_shape, units, batch_size, dim, etc
Jun 25, 2017 · Given the input shape, all other shapes are results of layers calculations. The "units" of each layer will define the output shape (the shape of the tensor that is produced by the layer and that will be the input of the next layer). Each type of layer works in a particular way.
python - 'list' object has no attribute 'shape' - Stack Overflow
Jan 9, 2014 · 8. list object in python does not have 'shape' attribute because 'shape' implies that all the columns (or rows) have equal length along certain dimension. Let's say list variable a has following properties: [0, 1] [87, 8, 1]] it is impossible to define 'shape' for variable 'a'. That is why 'shape' might be determined only with 'arrays' e.g.
Manually scale color, shape, and linetype of multiple geoms ggplot2
Just create a manual color scale and that will change the colors in both the plot and the guide. In general, you always want to favor using a scale over overriding guide values because it removes the risk of making mistakes in the guide which could cause your visualization to lie.
ValueError: shape mismatch: objects cannot be broadcast to a …
In the first case (a), numpy couldn't coerce both arrays to have the same shape. However, in the second case (b), since one is an 1D array (shape=(3,)) and the other is a 2D array (shape=(2,1)), both can be broadcast into an array of shape=(2,3).